https://projectswiki.eleceng.adelaide.edu.au/projects/api.php?action=feedcontributions&feedformat=atom&user=A1218728 2026-04-25T01:42:54Z User contributions MediaWiki 1.31.4 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=226 2014-08-13T06:52:08Z

<p>A1218728: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> The aim of this project is to build Real-Time Adaptive Filters to realize noise cancellation by running the Freescale i.mx53 quick start board.The delivered product will be dealing with the noise that occurred during the propagation but not the noise from the original sound signal. This technology can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. <br /> <br /> <br /> ==Project information==<br /> <br /> Sound is a pressure wave, which consists of a compression phase and a rarefaction phase. The noise-cancellation speaker emits a sound wave with the same amplitude but with inverted phase to the contaminated sound signal. The waves combine to form a new wave, in a process called interference, and effectively cancel each other out - an effect which is called phase cancellation.<br /> <br /> The operation system of the i.mx53 quick start board is Ubuntu 10.04. The quick start board will receive both original sound signal and contaminated signal to produce an anti-noise to realize the noise cancellation. The simulation of the noise cancellation will be completed through using Matlab-Simulink. The delivered product can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. It can enhance the sound effects through realizing noise cancellation without affecting the original sound. With the application of this technology, the unexpected noise that occurred during the propagation can be perfectly dealt with. For small devices, this technology can also be used on noise-cancelling headphones <br /> <br /> <br /> ==High-Level Plan==<br /> <br /> Aim1. Hardware construction<br /> <br /> Milestone1.Basic functional test of the board.<br /> Milestone2.Simple sound signal test.<br /> Milestone3.Running noise cancellation c code.<br /> <br /> Aim2. Software construction<br /> <br /> Milestone1.Doing research on algorithms of the real-time adaptive filters.<br /> Milestone2.Build simulation in Matlab-Simulink to perform the noise cancellation.<br /> Milestone3.Generate c code using Simulink and use a cross compiler to compile the code.<br /> <br /> Aim3. Interface<br /> <br /> Milestone1.Based on the compiled code and the board to perform basic noise cancellation.<br /> Milestone2.Litereature research on Advanced Linux Sound Architecture, Jack Audio and Gstreamer.<br /> Milestone3.Running C code on the board.<br /> Milestone4.Parameters adjusting and performance testing.<br /> Milestone5.Build GUI.<br /> Milestone6.Use the board and GUI to perform real-time noise cancellation.<br /> <br /> == Team ==<br /> === Group members ===<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=225 2014-08-13T06:51:37Z

<p>A1218728: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> The aim of this project is to build Real-Time Adaptive Filters to realize noise cancellation by running the Freescale i.mx53 quick start board.The delivered product will be dealing with the noise that occurred during the propagation but not the noise from the original sound signal. This technology can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. <br /> <br /> <br /> ==Project information==<br /> <br /> Sound is a pressure wave, which consists of a compression phase and a rarefaction phase. The noise-cancellation speaker emits a sound wave with the same amplitude but with inverted phase to the contaminated sound signal. The waves combine to form a new wave, in a process called interference, and effectively cancel each other out - an effect which is called phase cancellation.<br /> <br /> The operation system of the i.mx53 quick start board is Ubuntu 10.04. The quick start board will receive both original sound signal and contaminated signal to produce an anti-noise to realize the noise cancellation.<br /> <br /> The simulation of the noise cancellation will be completed through using Matlab-Simulink. The delivered product can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. It can enhance the sound effects through realizing noise cancellation without affecting the original sound. With the application of this technology, the unexpected noise that occurred during the propagation can be perfectly dealt with. For small devices, this technology can also be used on noise-cancelling headphones <br /> <br /> <br /> ==High-Level Plan==<br /> <br /> Aim1. Hardware construction<br /> <br /> Milestone1.Basic functional test of the board.<br /> Milestone2.Simple sound signal test.<br /> Milestone3.Running noise cancellation c code.<br /> <br /> Aim2. Software construction<br /> <br /> Milestone1.Doing research on algorithms of the real-time adaptive filters.<br /> Milestone2.Build simulation in Matlab-Simulink to perform the noise cancellation.<br /> Milestone3.Generate c code using Simulink and use a cross compiler to compile the code.<br /> <br /> Aim3. Interface<br /> <br /> Milestone1.Based on the compiled code and the board to perform basic noise cancellation.<br /> Milestone2.Litereature research on Advanced Linux Sound Architecture, Jack Audio and Gstreamer.<br /> Milestone3.Running C code on the board.<br /> Milestone4.Parameters adjusting and performance testing.<br /> Milestone5.Build GUI.<br /> Milestone6.Use the board and GUI to perform real-time noise cancellation.<br /> <br /> == Team ==<br /> === Group members ===<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=224 2014-08-13T06:50:56Z

<p>A1218728: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> The aim of this project is to build Real-Time Adaptive Filters to realize noise cancellation by running the Freescale i.mx53 quick start board.The delivered product will be dealing with the noise that occurred during the propagation but not the noise from the original sound signal. This technology can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. <br /> <br /> <br /> ==Project information==<br /> <br /> Sound is a pressure wave, which consists of a compression phase and a rarefaction phase. The noise-cancellation speaker emits a sound wave with the same amplitude but with inverted phase to the contaminated sound signal. The waves combine to form a new wave, in a process called interference, and effectively cancel each other out - an effect which is called phase cancellation.<br /> <br /> The operation system of the i.mx53 quick start board is Ubuntu 10.04. The quick start board will receive both original sound signal and contaminated signal to produce an anti-noise to realize the noise cancellation.<br /> <br /> The simulation of the noise cancellation will be completed through using Matlab-Simulink. The delivered product can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. It can enhance the sound effects through realizing noise cancellation without affecting the original sound. With the application of this technology, the unexpected noise that occurred during the propagation can be perfectly dealt with. For small devices, this technology can also be used on noise-cancelling headphones <br /> <br /> <br /> ==High-Level Plan==<br /> <br /> Aim1. Hardware construction<br /> <br /> Milestone1.Basic functional test of the board.<br /> Milestone2.Simple sound signal test.<br /> Milestone3.Running noise cancellation c code.<br /> <br /> Aim2. Software construction<br /> <br /> Milestone1.Doing research on algorithms of the real-time adaptive filters.<br /> Milestone2.Build simulation in Matlab-Simulink to perform the noise cancellation.<br /> Milestone3.Generate c code using Simulink and use a cross compiler to compile the code.<br /> <br /> Aim3. Interface<br /> <br /> Milestone1.Based on the compiled code and the board to perform basic noise cancellation.<br /> Milestone2.Litereature research on Advanced Linux Sound Architecture, Jack Audio and Gstreamer.<br /> Milestone3.Running C code on the board.<br /> Milestone4.Parameters adjusting and performance testing.<br /> Milestone5.Build GUI.<br /> Milestone6.Use the board and GUI to perform real-time noise cancellation.<br /> <br /> == Team ==<br /> === Group members ===<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=223 2014-08-13T06:50:31Z

<p>A1218728: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> The aim of this project is to build Real-Time Adaptive Filters to realize noise cancellation by running the Freescale i.mx53 quick start board.The delivered product will be dealing with the noise that occurred during the propagation but not the noise from the original sound signal. This technology can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. <br /> <br /> <br /> ==Project information==<br /> <br /> Sound is a pressure wave, which consists of a compression phase and a rarefaction phase. The noise-cancellation speaker emits a sound wave with the same amplitude but with inverted phase to the contaminated sound signal. The waves combine to form a new wave, in a process called interference, and effectively cancel each other out - an effect which is called phase cancellation.<br /> <br /> The operation system of the i.mx53 quick start board is Ubuntu 10.04. The quick start board will receive both original sound signal and contaminated signal to produce an anti-noise to realize the noise cancellation.<br /> <br /> The simulation of the noise cancellation will be completed through using Matlab-Simulink. The delivered product can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. It can enhance the sound effects through realizing noise cancellation without affecting the original sound. With the application of this technology, the unexpected noise that occurred during the propagation can be perfectly dealt with. For small devices, this technology can also be used on noise-cancelling headphones <br /> <br /> <br /> ==High-Level Plan==<br /> <br /> Aim1. Hardware construction<br /> <br /> Milestone1.Basic functional test of the board.<br /> Milestone2.Simple sound signal test.<br /> Milestone3.Running noise cancellation c code.<br /> <br /> Aim2. Software construction<br /> <br /> Milestone1.Doing research on algorithms of the real-time adaptive filters.<br /> Milestone2.Build simulation in Matlab-Simulink to perform the noise cancellation.<br /> Milestone3.Generate c code using Simulink and use a cross compiler to compile the code.<br /> <br /> Aim3. Interface<br /> <br /> Milestone1.Based on the compiled code and the board to perform basic noise cancellation.<br /> Milestone2.Litereature research on Advanced Linux Sound Architecture, Jack Audio and Gstreamer.<br /> Milestone3.Running C code on the board.<br /> Milestone4.Parameters adjusting and performance testing.<br /> Milestone5.Build GUI.<br /> Milestone6.Use the board and GUI to perform real-time noise cancellation.<br /> <br /> == Team ==<br /> === Group members ===<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=222 2014-08-13T06:49:29Z

<p>A1218728: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> The aim of this project is to build Real-Time Adaptive Filters to realize noise cancellation by running the Freescale i.mx53 quick start board.The delivered product will be dealing with the noise that occurred during the propagation but not the noise from the original sound signal. This technology can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. <br /> <br /> <br /> ==Project information==<br /> <br /> Sound is a pressure wave, which consists of a compression phase and a rarefaction phase. The noise-cancellation speaker emits a sound wave with the same amplitude but with inverted phase to the contaminated sound signal. The waves combine to form a new wave, in a process called interference, and effectively cancel each other out - an effect which is called phase cancellation.<br /> <br /> The operation system of the i.mx53 quick start board is Ubuntu 10.04. The quick start board will receive both original sound signal and contaminated signal to produce an anti-noise to realize the noise cancellation.<br /> <br /> The simulation of the noise cancellation will be completed through using Matlab-Simulink. The delivered product can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. It can enhance the sound effects through realizing noise cancellation without affecting the original sound. With the application of this technology, the unexpected noise that occurred during the propagation can be perfectly dealt with. For small devices, this technology can also be used on noise-cancelling headphones <br /> <br /> <br /> ==High-Level Plan==<br /> <br /> Aim1. Hardware construction<br /> <br /> Milestone1.Basic functional test of the board.<br /> Milestone2.Simple sound signal test.<br /> Milestone3.Running noise cancellation c code.<br /> <br /> Aim2. Software construction<br /> <br /> Milestone1.Doing research on algorithms of the real-time adaptive filters.<br /> Milestone2.Build simulation in Matlab-Simulink to perform the noise cancellation.<br /> Milestone3.Generate c code using Simulink and use a cross compiler to compile the code.<br /> <br /> Aim3. Interface<br /> <br /> Milestone1.Based on the compiled code and the board to perform basic noise cancellation.<br /> Milestone2.Litereature research on Advanced Linux Sound Architecture, Jack Audio and Gstreamer.<br /> Milestone3.Running C code on the board.<br /> Milestone4.Parameters adjusting and performance testing.<br /> Milestone5.Build GUI.<br /> Milestone6.Use the board and GUI to perform real-time noise cancellation.<br /> <br /> == Team ==<br /> === Group members ===<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=221 2014-08-13T06:48:42Z

<p>A1218728: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> The aim of this project is to build Real-Time Adaptive Filters to realize noise cancellation by running the Freescale i.mx53 quick start board.The delivered product will be dealing with the noise that occurred during the propagation but not the noise from the original sound signal. This technology can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. <br /> <br /> <br /> ==Project information==<br /> Sound is a pressure wave, which consists of a compression phase and a rarefaction phase. The noise-cancellation speaker emits a sound wave with the same amplitude but with inverted phase to the contaminated sound signal. The waves combine to form a new wave, in a process called interference, and effectively cancel each other out - an effect which is called phase cancellation.<br /> The operation system of the i.mx53 quick start board is Ubuntu 10.04. The quick start board will receive both original sound signal and contaminated signal to produce an anti-noise to realize the noise cancellation.<br /> The simulation of the noise cancellation will be completed through using Matlab-Simulink. The delivered product can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. It can enhance the sound effects through realizing noise cancellation without affecting the original sound. With the application of this technology, the unexpected noise that occurred during the propagation can be perfectly dealt with. For small devices, this technology can also be used on noise-cancelling headphones <br /> <br /> <br /> ==High-Level Plan==<br /> <br /> Aim1. Hardware construction<br /> <br /> Milestone1.Basic functional test of the board.<br /> Milestone2.Simple sound signal test.<br /> Milestone3.Running noise cancellation c code.<br /> <br /> Aim2. Software construction<br /> <br /> Milestone1.Doing research on algorithms of the real-time adaptive filters.<br /> Milestone2.Build simulation in Matlab-Simulink to perform the noise cancellation.<br /> Milestone3.Generate c code using Simulink and use a cross compiler to compile the code.<br /> <br /> Aim3. Interface<br /> <br /> Milestone1.Based on the compiled code and the board to perform basic noise cancellation.<br /> Milestone2.Litereature research on Advanced Linux Sound Architecture, Jack Audio and Gstreamer.<br /> Milestone3.Running C code on the board.<br /> Milestone4.Parameters adjusting and performance testing.<br /> Milestone5.Build GUI.<br /> Milestone6.Use the board and GUI to perform real-time noise cancellation.<br /> <br /> == Team ==<br /> === Group members ===<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=220 2014-08-13T06:28:26Z

<p>A1218728: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> The aim of this project is to build Real-Time Adaptive Filters to realize noise cancellation by running the Freescale i.mx53 quick start board.The delivered product will be dealing with the noise that occurred during the propagation but not the noise from the original sound signal. This technology can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. <br /> <br /> <br /> ==Project information==<br /> The operation system of the i.mx53 quick start board is Ubuntu 10.04. The quick start board will receive both original sound signal and contaminated signal to produce an anti-noise to realize the noise cancellation.<br /> The simulation of the noise cancellation will be completed through using Matlab-Simulink.The delivered product can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. It can enhance the sound effects through realizing noise cancellation without affecting the original sound. With the application of this technology, the unexpected noise that occurred during the propagation can be perfectly dealt with. <br /> <br /> <br /> ==High-Level Plan==<br /> <br /> Aim1. Hardware construction<br /> Milestone1.Basic functional test of the board.<br /> Milestone2.Simple sound signal test.<br /> Milestone3.Running noise cancellation c code.<br /> <br /> Aim2. Software construction<br /> Milestone1.Doing research on algorithms of the real-time adaptive filters.<br /> Milestone2.Build simulation in Matlab-Simulink to perform the noise cancellation.<br /> Milestone3.Generate c code using Simulink and use a cross compiler to compile the code.<br /> <br /> Aim3. Interface<br /> Milestone1.Based on the compiled code and the board to perform basic noise cancellation.<br /> Milestone2.Litereature research on Advanced Linux Sound Architecture, Jack Audio and Gstreamer.<br /> Milestone3.Running C code on the board.<br /> Milestone4.Parameters adjusting and performance testing.<br /> Milestone5.Build GUI.<br /> Milestone6.Use the board and GUI to perform real-time noise cancellation.<br /> <br /> <br /> <br /> <br /> <br /> == Team ==<br /> === Group members ===<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=219 2014-08-13T06:27:56Z

<p>A1218728: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> The aim of this project is to build Real-Time Adaptive Filters to realize noise cancellation by running the Freescale i.mx53 quick start board.The delivered product will be dealing with the noise that occurred during the propagation but not the noise from the original sound signal. This technology can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. <br /> <br /> <br /> ==Project information==<br /> The operation system of the i.mx53 quick start board is Ubuntu 10.04. The quick start board will receive both original sound signal and contaminated signal to produce an anti-noise to realize the noise cancellation.<br /> The simulation of the noise cancellation will be completed through using Matlab-Simulink.The delivered product can be used in the factories to reduce the noise caused by running large machines or it can be used to enhance the sound effects in the concert or cinema. It can enhance the sound effects through realizing noise cancellation without affecting the original sound. With the application of this technology, the unexpected noise that occurred during the propagation can be perfectly dealt with. <br /> <br /> <br /> ==High-Level Plan==<br /> <br /> Aim1. Hardware construction<br /> <br /> Milestone1.Basic functional test of the board.<br /> Milestone2.Simple sound signal test.<br /> Milestone3.Running noise cancellation c code.<br /> <br /> Aim2. Software construction<br /> <br /> Milestone1.Doing research on algorithms of the real-time adaptive filters.<br /> Milestone2.Build simulation in Matlab-Simulink to perform the noise cancellation.<br /> Milestone3.Generate c code using Simulink and use a cross compiler to compile the code.<br /> <br /> Aim3. Interface<br /> <br /> Milestone1.Based on the compiled code and the board to perform basic noise cancellation.<br /> Milestone2.Litereature research on Advanced Linux Sound Architecture, Jack Audio and Gstreamer.<br /> Milestone3.Running C code on the board.<br /> Milestone4.Parameters adjusting and performance testing.<br /> Milestone5.Build GUI.<br /> Milestone6.Use the board and GUI to perform real-time noise cancellation.<br /> <br /> <br /> <br /> <br /> <br /> == Team ==<br /> === Group members ===<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=218 2014-08-13T06:06:43Z

<p>A1218728: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> The aim of this project is to build Real-Time Adaptive Filters to realize noise cancellation by running the Freescale i.mx53 quick start board. The i.mx53 quick start board will produce an anti-noise signal to purify the contaminated sound signal. The delivered product will be dealing with the noise that occurred during the propagation but not the noise from the original sound signal. This technology can be used in the factories to reduce the noise caused by running large machines or enhance the sound effects in the concert. <br /> <br /> <br /> ==Project information==<br /> The operation system of the i.mx53 quick start board is Ubuntu 10.04. The quick start board will receive both original sound signal and contaminated signal to produce an anti-noise to realize the noise cancellation.<br /> The simulation of the noise cancellation will be completed by using Matlab-Simulink. Simulink can also generate necessary C code according the modules that have been built<br /> <br /> <br /> ==High-Level Plan==<br /> <br /> Aim1. Hardware construction<br /> <br /> Milestone1.Basic functional test of the board.<br /> Milestone2.Simple sound signal test.<br /> Milestone3.Running noise cancellation c code.<br /> <br /> Aim2. Software construction<br /> <br /> Milestone1.Doing research on algorithms of the real-time adaptive filters.<br /> Milestone2.Build simulation on Matlab-Simulink to perform the noise cancellation.<br /> Milestone3.Generate c code using Simulink and use cross compiler to complie the code.<br /> <br /> Aim3. Interface<br /> <br /> Milestone1.Based on the compiled code and the board to perform basic noise cancellation.<br /> Milestone2.Parameters adjusting and performace testing.<br /> Milestone3.Build GUI.<br /> <br /> <br /> <br /> <br /> <br /> <br /> == Team ==<br /> === Group members ===<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=215 2014-08-12T11:10:37Z

<p>A1218728: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> The aim of this project is to build Real-Time Adaptive Filters to realize noise cancellation by running the Freescale i.mx53 quick start board. The i.mx53 quick start board will produce an anti-noise signal to purify the contaminated sound signal. The delivered product will be dealing with the noise that occurred during the propagation but not the noise comes from the original sound signal. This technology can be used in the factories to reduce the noise caused by running large machines or enhance the sound effects in the concert. <br /> <br /> <br /> ==Project information==<br /> The operation system of the i.mx53 quick start board is Ubuntu 10.04. The quick start board will receive both original sound signal and contaminated signal to produce an anti-noise to realize the noise cancellation.<br /> The simulation of the noise cancellation will be compeleted by using Matlab-Simulink. Simulink can also generate necessary C code according the modules that have been built<br /> <br /> == Team ==<br /> === Group members ===<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=201 2014-08-12T04:27:40Z

<p>A1218728: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> This aim of this project is to build a Real-Time Adaptive Filters to realize noise cancellation by running the Freescale i.mx53 quick start board. The i.mx53 quick start board will produce an anti-noise signal to purify the contaminated sound signal. The project involves with literature research, hardware<br /> <br /> <br /> ==Project information==<br /> <br /> <br /> == Team ==<br /> === Group members ===<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=200 2014-08-12T04:20:34Z

<p>A1218728: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> This aim of this project is to build a Real-Time Adaptive Filters to realize noise cancellation by running the Freescale i.mx53 quick start board. The i. mx53 quick start board will produce an anti-noise signal to purify the contaminated sound signal. <br /> <br /> <br /> ==Project information==<br /> The operation system of the i.mx53 quick start board is Ubuntu 12.04.<br /> <br /> == Team ==<br /> === Group members ===<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=198 2014-08-12T03:31:30Z

<p>A1218728: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> <br /> <br /> == Team ==<br /> === Group members ===<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2014S1-23_Real-Time_Adaptive_Filters&diff=197 2014-08-12T03:31:02Z

<p>A1218728: Created page with &quot;Category:Projects Category:Final Year Projects 23 == Team == === Group members ==== * Mr Lian Wang * Mr David Homley * Mr Peng Fei === Superviso...&quot;</p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2014S1|23]]<br /> <br /> <br /> == Team ==<br /> === Group members ====<br /> * Mr Lian Wang<br /> * Mr David Homley<br /> * Mr Peng Fei<br /> <br /> === Supervisors ===<br /> * Dr Andrew Allison<br /> * Dr Braden Phillips<br /> <br /> == Resources ==<br /> * Bench 2 in lab EM418<br /> * Matlab-Simulink<br /> * Freescale i.mx53 quick start board<br /> * 2 microphones<br /> * Standard mixer<br /> * Standard PC</div>

A1218728